Parameter Constrained Neural Network

Model overview

Parameter constrained neural network classifier using PyTorch with configurable hidden layers to predict taxonomy IDs from product tags. Each taxonomy path is encoded as a p-adic integer and the model minimizes p-adic distance.

5 CV folds

12.72% Mean accuracy

0.0938 Mean F1

0.52543382 Mean p-adic loss

Total train samples: 43,740
Total test samples: 10,935

Key hyperparameters

Prime base(s): 79
Hidden layer sizes: 27
Max tags used: 32

Cross-validation results

Fold	Accuracy	F1	P-adic loss (mean)	Details
0	12.72%	0.0954	0.523938	View details →
1	14.40%	0.1043	0.520736	View details →
2	11.94%	0.0888	0.542045	View details →
3	12.52%	0.0950	0.516583	View details →
4	12.02%	0.0855	0.523867	View details →